Bussiness Ideas

Apparent Energy is building Bharat GridSync —an indigenous, cloud-native AI platform for utilities. Problem Statement Fragmented meter data & revenue leakage : DISCOMs still rely on siloed AMR/AMI streams and manual reconciliations. Missing reads, poor VEE (Validation–Estimation–Editing), and delayed determinants lead to billing leakage, disputed invoices, and higher AT&C losses. Operational blind spots: Outage detection, feeder-loss localization, and power-quality monitoring are reactive. Field crews lack granular, real-time visibility at DT/feeder/consumer levels to prioritise restoration and theft patrolling. High RE penetration without flexible control : Rising rooftop PV, wind, and EV loads add variability; most utilities lack a coordinated DERMS/DRMS to orchestrate BTM/FTM DERs, perform peak shaving, or provide Volt/VAR and frequency support. Heavy CapEx & vendor lock-in : Legacy MDMS/DER platforms demand upfront licenses, bespoke integration, and third-party dependency—misaligned with RDSS DBFOOT OPEX expectations and India’s data-sovereignty mandates. Compliance & reporting burden : MoP/CEA reporting, DSM settlement, and audit trails consume time; cyber obligations (CERT-In logs, incident SLAs) are hard to enforce consistently across tools. Who Is Affected DISCOM operations & IT : Bear the brunt of bad data, manual reconciliations, long billing cycles, and slow incident response; struggle to integrate HES, CIS, OMS, and market systems. Consumers & prosumers : Face billing errors, delayed refunds/settlements (especially net-metering), more outages, and limited visibility into their usage and ToD tariffs. Regulators & system operators (SLDC/RLDC) : Get inconsistent reliability indices (SAIDI/SAIFI), delayed DSM data, and limited evidence for audits. Renewable generators, aggregators, and AMISPs : Cannot monetize flexibility (DR/ancillary services) at scale without trustworthy data, standard APIs, and dispatch coordination. State finances & public programmes : Revenue gaps persist; CapEx-heavy IT stacks slow RDSS outcomes and undercut Make-in-India/self-reliance goals. How Our Product Addresses This Problem Bharat GridSync MDMS (Foundation) : Indigenous, cloud-native, pure OPEX platform that ingests 15-min reads at scale; performs automated VEE, tamper/event analytics, and generates billing-grade determinants (ToD, prepaid, net-metering). Delivered as ?/meter/month including implementation and full L1–L3 in-house support—no external dependency, no CapEx shock. Unified energy data lake + open standards : Normalizes AMI/IoT/SCADA streams into a governed time-series lake; exposes northbound APIs to CIS/OMS, ADMS, DERMS, and trading/market platforms (DLMS/COSEM, IEC CIM, REST/MQTT, OpenADR, IEEE 2030.5). Eliminates swivel-chair operations and vendor lock-in. AI-ready from day one : Embedded models detect non-technical losses, predict missing reads, forecast load/PV/wind, and prioritise field actions. Assistive AI bots generate MoP/DSM reports, explain anomalies (“probable bypass at DT-17”), and simulate tariff/DR impacts. ADMS integration (grid operations) : Feeds AMI events and load curves to state estimation, FLISR, Volt/VAR/CVR. Constraint-aware analytics (hosting capacity, OPF) help operate feeders closer to limits safely and defer low-ROI network upgrades. DERMS/DRMS orchestration (flexibility) : Registers PV/wind/BESS/PSP/EVSE and flexible loads; builds VPP portfolios; dispatches DR events and storage set-points respecting ADMS envelopes—enabling peak shaving, ramp containment, frequency and voltage support, and market participation. Security, compliance, sovereignty : India-hosted (sovereign cloud), AES-256/TLS 1.3, RBAC+MFA, CERT-In-aligned logging (180-day retention, 6-hour IR SOP), ISO 27001/SOC 2 roadmap; full command provenance for audits. Rapid time-to-value : LLM-assisted adapter toolkit connects to HES/CIS in days; configurable dashboards deliver feeder-loss maps, SAIDI/SAIFI, and cash-cycle KPIs quickly; modular add-ons (DRMS, DERMS analytics) scale as meter rollouts mature. Result : Faster, accurate billing and settlements; measurable AT&C reduction; improved reliability and restoration; and a controlled path to autonomous grid operations—all on an indigenous, OPEX-aligned platform built for RDSS and India’s renewable future.

Startup Teams

• 1 Ranjana Rani (Founder)
• 2 Abhishek Sharma (Founder)

Incubation Details

• Incubator Name
  Krishna Path Incubation Society-TBI
• Incubator Host Institution
  KIET group of Institutions
• State
  Uttar Pradesh
• City
  Ghaziabad